Project Engineer

Job Description

WE ARE ARCARITHM, dba Arcarithm, and we are changing the world! If you are ready to grow your career and change the world with us, then join the Arcarithm team! We are located in beautiful, downtown Huntsville, AL, one of the fastest growing cities in the U.S.! At Arcarithm, we cultivate and foster an environment of integrity, open communication, work life balance, and career development. We are committed to investing in our employees by offering comprehensive health insurance options, a generous 401K plan, competitive salaries, continuous career growth opportunities, flexible schedules including remote work, mentoring and performance incentives. Arcarithm is currently seeking top talent in the areas of full stack software development, artificial intelligence, optimization, and data analytics. You will work in a dynamic and challenging environment alongside our customers which include Lockheed Martin, General Dynamics, Northrop Grumman, Raytheon, US Army, US Navy, US Air Force, the Missile Defense Agency, and NASA on cutting edge technologies including machine learning, augmented and virtual reality, big data analytics, and more! We are excited to continue to change and improve the world through innovation and technology! Contact us today to hear more about Arcarithm and all we offer!

Job Title: Project Engineer Job Location: Tullahoma, TN

The role of the Project Engineer is to develop and apply statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities. The successful candidate will work as a member of the Digital Enterprise group (DE) to lead implementation of data-centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems. The person selected for this role will work closely with multidisciplinary work teams to identify opportunities for leveraging data to drive decisions and will help design and implement a data architecture working with the Digital Enterprise team.

The Project Specialist/Engineer supports the development of technical scope, requirements, estimates, and schedules for capital investment, test, and maintenance projects for the Digital Enterprise Project Management organization. This role coordinates Engineering activities (e.g., technical planning, design, installation, and checkout) with Design Engineers, System Engineers, Test Operations Engineers, Project Managers, other non-Engineering functions, and support for the projects within the Digital Enterprise Project Management's portfolio.

Job Duties:

• Responsible for coordination of engineering deliverables on a project or group of projects. Coordinates with the Digital Enterprise Project Managers, Group Managers and Functional Managers to secure the resources needed to complete design activities.
• Communicates information that assists with effective priority determination by Digital Enterprise Branch Management.
• Coordinates with the technical team to guide and direct 0-Works with Project Controls to develop work breakdown structures; Critical Path Method (CPM) schedules; and resource, cost and budget plans.
• Supports Project Control / Digital Enterprise Project Manager in performing critical path analysis and development of timelines for completion of tasks, measuring the deliverable work packages of the project against the project plan.
• Communicates schedule conflicts, resource constraints, and time constraints to the project team, section supervisors, and group managers.
• Assist with PM responsibilities as need in the preparation of progress reports, standardized reporting procedures and the monitoring of overall project performance.
• Tracks project charging and ensures appropriate charge number assignment.
• Organizes and communicates project information (e.g., scope of work, requirements documentation, drawings, and estimates) to project team members.
• Serves as a technical liaison between the project team, contractor, and government engineering staff.
• Support process improvement efforts and development and documentation of new processes.
• It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
• Green fielding of new software products
• Analyzing multiple COTS products for viability
• Speaking with Vendors for pricing and creating a cost-benefit analysis of multiple software/hardware products
• Understanding basic networking concepts
• Understanding basic cyber security concepts
• DOD specific software development requirements such as NIST 800 SP, STIGing of software, and Application and system development
• Experience with integration of legacy software systems
• Modernization of legacy software systems
• Mentorship and leadership of early career engineers
• Cloud engineering/Cloud architecture and design
• Perform other related duties as required.

Basic Qualifications:

• Bachelor of Science degree in engineering, computer science or other engineering discipline from an accredited college or university plus 4 to 10 years of progressive work experience in design engineering or other relevant types of engineering such as test operations or plant operation in large industrial plants, utilities, process plants or engineering/construction firms.
• Prior experience managing engineering projects and/or designing systems.
• Current United States citizenship required.

Preferred Qualifications:

• Technical knowledge of related engineering systems, engineering calculations, applications of engineering and construction methods and materials, and engineering application of computers.
• Master's or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering or another relevant engineering field from an accredited university program.
• Demonstrated experience in a data analytics role applied to technical data in probability analyses and statistical analytics to gain insights using large data sources.
• Knowledge of data mining, analysis and collection techniques applied to operations and analysis, especially safety or operations process improvement.
• Experience using statistical computer languages (R, Python, SQL, etc.) to analyze data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Experience performing root cause analysis.
• Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with application.
• Coding knowledge and experience with multiple languages
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
• Good interpersonal and communication skills, both written and verbal, including the preparation of technical reports is required.
• Data mining
• Data analytics